Artificial Intelligence (AI) Subject Matter Expert (SME) (T)

United States·Alexandriamid

OtherArtificial Intelligence

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Overview

100% ONSITEWho We Are: Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities,

Technical Tools

OtherArtificial Intelligence

100% ONSITE

Who We Are: Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is “excellence,” with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team).

SimIS, Inc. is currently recruiting for the listed position which is “on site.”

Job Description:
SimIS, Inc. seeks an AI Subject Matter Expert to provide Systems Engineering and technical assistance (SETA) support to the Test and Evaluation Science and Technology (T&E/S&T) Program, the Department's only S&T program dedicated to advancing DoD Test Range capabilities in support of AI and machine learning-enabled systems. This role evaluates machine learning model performance and robustness ahead of fielding decisions, advises on test methodologies for emerging AI capabilities, and supports investment strategy across DoD AI standards, DoD cloud, AI-enabled technologies, autonomy and robotics, and machine learning grounded in DoD warfighting missions and business functions.

Required Qualifications:

Master's degree or ten (10) years of relevant experience (required); PhD desired
Degree field: Electrical Engineering, Computer Science, Computer Engineering, or related field, with specialization in robotics/autonomy, automatic target recognition, machine learning, system architecture, AI testing, or machine vision
Experience with DoD S&T, DoD Acquisition, or DoD testing
Familiarity with Major Range and Test Facility Base (MRTFB)
Familiarity with Central Test and Evaluation Investment Program (CTEIP)
Familiarity with the T&E Science and Technology (S&T) Program
Demonstrated depth of knowledge in robotics/autonomy, automatic target recognition, machine learning, system architecture, AI testing, or machine vision
Hands-on experience developing or programming machine learning algorithms
Broad knowledge of technologies relevant to one or more T&E/S&T Test Technology Areas
Familiarity with the Systems Engineering process; DAU Systems Engineering certification desired

Desired Qualifications:

Experience within the NCR region, TRMC, or a high-level DoD/Service test range, S&T organization, or with S&T leadership
Publications, patents, or competition results in machine learning, autonomy, or robotics (e.g., DARPA challenges, peer-reviewed research)
Experience with adversarial machine learning, model robustness testing, or T&E specifically focused on AI-enabled systems
DAU certification in Test and Evaluation (T&E), in addition to Systems Engineering
Experience evaluating or fielding autonomous systems in an operational or test environment